Hierarchical graph transformer with contrastive learning for protein function prediction

MOTIVATION: In recent years, high-throughput sequencing technologies have made large-scale protein sequences accessible. However, their functional annotations usually rely on low-throughput and pricey experimental studies. Computational prediction models offer a promising alternative to accelerate t...

Descripción completa

Detalles Bibliográficos
Autores principales: Gu, Zhonghui, Luo, Xiao, Chen, Jiaxiao, Deng, Minghua, Lai, Luhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338137/
https://www.ncbi.nlm.nih.gov/pubmed/37369035
http://dx.doi.org/10.1093/bioinformatics/btad410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338137/
https://www.ncbi.nlm.nih.gov/pubmed/37369035
http://dx.doi.org/10.1093/bioinformatics/btad410

Ejemplares similares